Wietze Suijker
Wietze works at Space Intelligence as a Product Architect, providing data on forest coverage and carbon storage to achieve zero deforestation and mass restoration.
He is a data engineer and the scrum master of the team that maintains Space Intelligence’s data platform.
The data platform builds on the Pangeo stack and uses machine learning workflows to provide satellite data products at scale.
Previously, he worked at a Water and IT company as the technical lead for a range of satellite-data-driven projects.
![The speaker's profile picture](/media/avatars/wietze_TYmNSWS.jpeg)
Sessions
Xarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets with many related variables. Xarray combines the convenience of labeled data structures inspired by Pandas with NumPy-like multi-dimensional arrays to provide an intuitive and scalable interface for scientific analysis. This hands-on tutorial focuses on intermediate and advanced workflows using complex real-world data. We encourage participants in this workshop to bring your own dataset as we will dedicate ample time to apply tutorial concepts to datasets of interest!